Finite-Time Command Filtered Event-Triggered Adaptive Fuzzy Tracking Control for Stochastic Nonlinear Systems

In this article, the issue of finite-time command filter-based adaptive fuzzy tracking control based on an event-triggered scheme for stochastic strict-feedback nonlinear systems is studied. By using a fuzzy logic system, finite-time command filter with compensation signals, an event-triggered adapt...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2021-07, Vol.29 (7), p.1815-1825
Main Authors: Xia, Jianwei, Li, Baomin, Su, Shun-Feng, Sun, Wei, Shen, Hao
Format: Article
Language:English
Subjects:
Actuators
Adaptive control
Adaptive fuzzy control
Adaptive systems
Backstepping
Control methods
Control systems design
Controllers
Convergence
Design methodology
event-triggered control (ETC)
finite-time control
Fuzzy control
Fuzzy logic
Lyapunov function
Nonlinear control
Nonlinear systems
Reference signals
Stochastic systems
Tracking control
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Summary:In this article, the issue of finite-time command filter-based adaptive fuzzy tracking control based on an event-triggered scheme for stochastic strict-feedback nonlinear systems is studied. By using a fuzzy logic system, finite-time command filter with compensation signals, an event-triggered adaptive controller is designed. The newly designed controller not only guarantees the property of finite-time convergence, but also reduces the communication burden from the controller to the actuator. Meanwhile, the problem of complexity explosion caused by the backstepping method is avoided by using command filter technology. The proposed controller can ensure that the output signal tracks the given reference signal under the bounded error. Finally, the simulation result proves the effectiveness of the proposed control method.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2020.2985638